* How can one get started in data science as a change in their careerpath at mid career point?

* Will data science as a skill become a need for every engineer to learn inthe future or will it be a specialized?

*What engineering or math topics should refresh on to prepare herself for a data science career?

PANELLISTS:(Moderator) Sophia Viklund https://www.linkedin.com/in/sophiaviklund/Sophia Viklund is an entrepreneur, public speaker, advisor, mentor to startups, investor, and an advocate of women and girls in STEM education (Science, Technology, Engineering and Mathematics). She is an investor with The Band of Angels. Sophia is currently centrally engaged as CEO and Founder of New Sun Technologies Inc., a Silicon Valley-based company that produces innovative products in the area of A.I. to improve the lives of seniors. Sophia is a technical board member of Open Source Vision Foundation, a global computer vision organization with 30 million members.

Dr. Hui Wang https://www.linkedin.com/in/hui-wang-395130/ is VP of Data Science for PayPal. Dr. Wang manages the data science team developing machine learning and data mining technologies for PayPal. Her team owns fraud and risk models that are backbones for PayPal’s Risk Management, as well as various data science solutions to support product, marketing, sales and customer service. She is expert in many machine learning technologies. Additionally, she plays a designer role in architect next generation analytic products to enable modern machine learning for real time detection and decision systems. Her team won Computer World 2015 Data+ Editor’s Choice Award. She was the winner of 2016 Women in Payment Innovation Award. She has B.S. in Computer Science from Univ. of Science and Tech of China and Ph.D. in Statistics from U.C. Berkeley.

Dr. Viji Krishnamurthy, https://www.linkedin.com/in/viji-krishnamurthy-3a63981/, leads analytics for IoT and Blockchain appsat Oracle. Viji is a specialist in applying AI/ML to industrial and consumer applications where self optimization and autonomy are desired. As a data scientist, Viji has helped to automate manufacturing decisions and helped to optimize product quality, supply chain and product pricing at various high tech manufactures. Viji has also managed IoT platforms and released analytics rich applications for both retail and industrial users in Smart Building, Industrial IoT and Consumer Electronics. Viji has Ph.D. in Operations Research from Northwestern University and, is a proud Wildcat and a Sun Devil.

Dr. Sheng You, https://www.linkedin.com/in/shengyou/, got her Ph.D. in Electrical Engineering at Northeastern University in 2014. She has been working in data science since 2013, most recently at FogHorn Systems.

Karen Ebert Matthys, Executive Director, External Partners, Institute for Computational & Mathematical Engineering at Stanford Univ. Karen develops relationships with companies interested in collaboration around machine learning, data science, computational math, and high performance computing. Karen is also an Advisory Board member for the Stanford Catalyst promoting inter-disciplinary research. Karen is co-Founder and co-Director of the Women in Data Science Conference reached over 100,000 participants in 2018. Her previous positions include Dir. of Marketing Strategy at Cellular One, Lecturer at Stanford Graduate School of Business, Innovation Partner at SRI International, and a manager at Apple.